Structural, Syntactic, and Statistical Pattern Recognition Structural, Syntactic, and Statistical Pattern Recognition

Structural, Syntactic, and Statistical Pattern Recognition

Edwin R. Hancock 및 다른 저자
    • US$139.99
    • US$139.99

출판사 설명

This volume in the Springer Lecture Notes in Computer Science (LNCS) series contains the papers presented at the S+SSPR 2010 Workshops, which was the seventh occasion that SPR and SSPR workshops have been held jointly. S+SSPR 2010 was organized by TC1 and TC2, Technical Committees of the International Association for Pattern Recognition(IAPR), andheld inCesme, Izmir, whichis a seaside resort on the Aegean coast of Turkey. The conference took place during August 18–20, 2010, only a few days before the 20th International Conference on Pattern Recognition (ICPR) which was held in Istanbul. The aim of the series of workshops is to create an international forum for the presentation of the latest results and exchange of ideas between researchers in the ?elds of statistical and structural pattern recognition. SPR 2010 and SSPR 2010 received a total of 99 paper submissions from many di?erent countries around the world, giving it a truly international perspective, as has been the case for previous S+SSPR workshops. This volume contains 70 accepted papers, 39 for oral and 31 for poster presentation. In addition to par- lel oral sessions for SPR and SSPR, there were two joint oral sessions of interest to both SPR and SSPR communities. Furthermore, to enhance the workshop experience, there were two joint panel sessions on “Structural Learning” and “Clustering,” in which short author presentations were followed by discussion. Another innovation this year was the ?lming of the proceedings by Videol- tures.

장르
컴퓨터 및 인터넷
출시일
2010년
8월 28일
언어
EN
영어
길이
773
페이지
출판사
Springer Berlin Heidelberg
판매자
Springer Nature B.V.
크기
17.1
MB
Structural, Syntactic, and Statistical Pattern Recognition Structural, Syntactic, and Statistical Pattern Recognition
2016년
Progress in Pattern Recognition, Image Analysis and Applications Progress in Pattern Recognition, Image Analysis and Applications
2008년
Pattern Recognition and Machine Intelligence Pattern Recognition and Machine Intelligence
2011년
Progress in Pattern Recognition, Image Analysis and Applications Progress in Pattern Recognition, Image Analysis and Applications
2007년
Similarity-Based Pattern Analysis and Recognition Similarity-Based Pattern Analysis and Recognition
2013년
Pattern Recognition Pattern Recognition
2011년